Face refinement through a gradient descent alignment approach
VisHCI '06 Proceedings of the HCSNet workshop on Use of vision in human-computer interaction - Volume 56
ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications
Visual-context boosting for eye detection
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
TAROS'11 Proceedings of the 12th Annual conference on Towards autonomous robotic systems
Robust depth camera based eye localization for human-machine interactions
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part I
Facial feature extraction using a probabilistic approach
Image Communication
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We present a reliable eye center localization algorithm from one color image of a human face. The detection is based on deformable templates, which are only controlled by four parameters. Our algorithm works instantaneously and does not need a preprocessing step like the creation of a database or initial parameters. The experimental results show that the presented technique is very robust under different illumination conditions including pictures of people with glasses and different face sizes.